code: def test_constructor_float32(self):
      # GH#10648
      data = np.array([1.0, np.nan, 3], dtype=np.float32)
      arr = SparseArray(data, dtype=np.float32)
  
      assert arr.dtype == SparseDtype(np.float32)
      tm.assert_numpy_array_equal(
          arr.sp_values, np.array([1, 3], dtype=np.float32)
      )
      # Behavior change: np.asarray densifies.
      # tm.assert_numpy_array_equal(arr.sp_values, np.asarray(arr))
      tm.assert_numpy_array_equal(
          arr.sp_index.indices, np.array([0, 2], dtype=np.int32)
      )
  
      dense = arr.to_dense()
      assert dense.dtype == np.float32
      tm.assert_numpy_array_equal(dense, data)
  
imports: import numpy
  import pytest
  from pandas._libs.sparse import IntIndex
  import pandas
  from pandas import SparseDtype, isna
  import pandas._testing
  from pandas.core.arrays.sparse import SparseArray
label_desc: Use image node_id 21 for calling the TestConstructors obj's underlying member method code with example usage: obj.test_constructor_float32() without return types